code: def testComputeAverageLossGlobalBatchSize_BatchSizeNonScalar(self):
      per_example_loss = [1, 2, 3, 4, 5]
      with self.assertRaisesWithPredicateMatch(
          ValueError, "global_batch_size must be scalar"
      ):
          nn_impl_distribute.compute_average_loss(
              per_example_loss, global_batch_size=[10]
          )
  
imports: from absl.testing import parameterized
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import strategy_combinations
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import nn_impl_distribute
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the LossUtilitiesTest obj's underlying member method code with example usage: obj.testComputeAverageLossGlobalBatchSize_BatchSizeNonScalar() without return types